Identifying exoplanets with deep learning. III, Automated triage and vetting of TESS candidates
NASA's Transiting Exoplanet Survey Satellite (TESS) presents us with an unprecedented volume of space-based photometric observations that must be analyzed in an efficient and unbiased manner. With at least ∼1,000,000 new light curves generated every month from full-frame images alone, automated...
Main Authors: | , , , , , , , , |
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Format: | Article |
Language: | English |
Published: |
American Astronomical Society,
2020-04-17T01:52:13Z.
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Subjects: | |
Online Access: | Get fulltext |